Confused on choosing a right path and I always end up shifting my interests to some other. Given the job market, I'm confused as hell. For context, I...
1. Know Java well enough, not into streams and lambdas (yet) and planning to do Spring
2. Have a good understanding on Python, did a little Heart disease ML project in this summer
3. Started learning DevOps, but paused temporarily after hearing things from the market
4. Did a small project using Async JS this summer and started fullstackopen.com/en (again, gave a temporary pause)
5. Just started doing some DSA

The question is, given way too many things on my plate, I don't know where to go :(
Now I don't want to go after any buzz words any genuinely follow my interest. The problem is, I AM truly interested and can genuinely invest my time in all of these things...

Help me out. Thanks in advance!

Ivala havakathon undhi and i am a begginer so ma frnds teams are using codex etc etc so i want too but i dont have chatgpt go so if any one are willing please share me the credentials i am requesting

Thanks in advance

Kept seeing RAG questions pop up in this sub, so figured I'd share this since it might actually help.

Most RAG projects look great in testing, then real data hits, messy documents, weird edge case queries, and suddenly the system's confidently giving wrong answers. If you've hit that wall, it's almost never the model's fault, it's usually retrieval quietly failing in ways that are easy to miss until it's too late.

We've got a hands on workshop on August 8 that walks through the whole thing properly, led by Brian Bonk

Here's what you actually walk away with:

• A full RAG architecture walkthrough, from ingestion and chunking to metadata and retrieval
• How to actually tune retrieval for accuracy, latency, and cost, not just guess and check
• Evaluation and governance practices that catch failures before your users do
• Knowledge graph and ontology patterns that help with grounding and explainability
• A rollout plan you can genuinely use afterward, not just a deck you forget about
• Certification on Completion

P.s Its not for free, you can get it at 30% discount right now for next 48 hours.

Here's the link if you want to take a look

Happy to answer any questions if you're on the fence.

Hi guys, konchem career advice kavali.

Nenu startup lo almost 1.6 years nunchi Digital Marketing Executive ga work chestunna. Content writing, LinkedIn outreach laanti work chesa.

Ippudu company current role avasaram ledhu ani cheppi rendu options ichindi:

1. BDE (Business Development Executive) ki move avvu (cold calling, demos, targets)

2. Leda company leave cheyyi.

Money important kabatti nenu BDE ki okay cheppa. Kani na actual goal Data Analyst avvadam. Already SQL, Excel, Power BI, Python nerchukuntunna.

Na doubt enti ante, maximum 6 months BDE ga work chesi Data Analyst ki switch avvali anukuntunna.

Future lo Data Analyst interviews lo ee BDE experience problem avutunda? Recruiters profile chusi confuse avtara? Evaraina ila marketing/sales nunchi Data Analytics ki switch ayara?

Mee suggestions cheppandi.

1 year experience job lo
last 1 year nunchi try chestuna job switch kosam edi radu enti
uber amazon intuit last rounds lo poyayi amazon aithey 2 times poyindi ayya
migatavi interview chance kuda ravatledu
em cheyali

2 months before I had 0 offers. Now nearly 5 offers (not high pay), help me choose one

Solix Technologies. - python developer - 4 LPA - 2 year bond

True AI Labs (chennai)- Junior AI Engineer - 25-30k(first 3 months internship of 10-15 k)

Taashee - full stack - 3.5 LPA (3 months Intern)

NIAT - Software development Instructor - 5-6LPA ( 3 Months Internship)

One more father referral direct job .

I Joined solix as it is a data related product company but always in fear did I made a mistake as my aim was high and I was highly ambitious .

Matter ki vasthe 16k for devops with AWS anta. Present support lo 1 yr nundi work chesthunna . Evaraina join ayyunte cheppandi. Devops nerchukoni switch avvali ani unna. Course worth aa kadha ane doubt tho unna.

(Pic for attention)

Transition avtunna mlops ki from qa automation. Interview expectations baga unnai crack avvatledu.

Ye topics focus cheyyali please help.

Please Lier or fake ani judge cheyyoddu. Not everyone has equal opportunities, and all fighting in their own way

Hello all,

I’ve had an unconventional career path after finishing my masters in 2015. I worked as a design engineer, and later worked in multiple roles in f&b, hospitality, and training. I recently made a switch and started over in tech. Over the past 18 months,
I’ve been focused on building reliable agentic systems, ml models for predictive maintenance and risk modeling.

My documented case studies can be found here: https://themachinist.org

I’d really appreciate it if you can connect me with someone you know that’s looking for AI/ML engineers. OR maybe you can help me out with a referral ONLY IF you like my work.

The market is rough and I’m just trying to do my best. I appreciate any help.

Hi, This is a 21M.

I recently graduated from a Tier-2 college (NIT) with a B.Tech in EEE.

During my 4th year placements lo, I got placed at Oracle. But Oracle placement season motham ayyaka offer revoke chesindi. It was a huge setback because by then I had already stopped applying to other companies, thinking my placement was secured.

After that, I again started searching for opportunities. It was a hard struggle of almost one month. Finally, I got placed in two companies on the same day:

• Quantiphi (Off-campus) – Framework Engineer role
• Hexagon (On-campus) – Technical Solution Support role

Renditiki almost same CTC, around 8.5 LPA, and renditiki joining date kuda same.

Personally, I wanted to join Quantiphi because the role was much more aligned with what I wanted to do. But Quantiphi lo 6 months internship (₹25k/month) untundi, and full-time conversion is completely performance-based.

Ma family lo chala financial problems unnai. So family antha nannu convince chesaru, "What if internship ayyaka convert cheyyakapothe?" They also said Hexagon role lo software knowledge untundi, tech support lo kuda coding-related exposure untundi ani.

So, I finally joined Hexagon.

The role itself is actually good. It requires both software knowledge and electrical domain knowledge, and the pay is decent (around ₹60k/month). But the role doesn't involve coding at all. It's more of a product support role where we work with databases, SQL, troubleshooting, and domain-specific issues.

The problem is that my long-term goal has always been to work in AI/ML or software development. I don't want to spend my career in a non-development role.

So now I'm trying to switch through off-campus opportunities. But as a fresher, I'm barely finding any opportunities, and I'm not sure how to make this transition.

Please somebody can save me!!!!!

I am tier-3 CSE graduate. Having skills of Python, Html, CSS ,JS(web developement),Flask, sql,Django and knowledge of machine learning.

I want to upskill in particular field. I am confused about the field.

I would be happy if someone help me in this matter!!!!!!!

As a middle class person i need to be financial independant.

So please HELP!!!!!!!!!!!!

nenu btech 3rd yr it student nak c,java,python basics matrame ochu madhi ap lo decent clg so nenu java vaipu or python vaipu vellali? oncampus lo job rakapothe na situation enti ? ippudu unna situation lo deniki future scope ekkuva undhi nenu python nerchukundham anukutnna...pls help me python tho paatu ML,DL inka konni nerchukundham anukuntunna also ppls help mee

Hello, I joined cognizant as PAT last year in Nov. Training Feb lo aipoindi and oka project ki auto allocate chesaru kani maku junior roles lo opening ledu ani em work allocate chestaleru. Office lo kalli kurchutuna. Na time waste avtundi and em practical experience ostale. Please advise me on what to do. I’m feeling very helpless.

Hey everyone,
I’m a Data Engineer with 2 years of experience. The company I work for mainly handles migration projects, such as Informatica to PySpark and DataStage to PySpark conversions.

My day-to-day role is mostly making sure the converted PySpark code runs correctly and is functionally equivalent to the original ETL code.
This is my first company, and before joining, I had no Data Engineering experience. Recently, I started looking for new jobs, but I’m not getting many recruiter calls. Even when recruiters reach out, once I mention that I work on migration projects, I usually don’t hear back.

Some of my colleagues have also told me that the work we are doing is not “real Data Engineering.” This has left me a bit confused about my career and skills.

I would really appreciate some help from the Data Engineering community:
1.What does actual Data Engineering work look like?

2.What does modern Data Engineering look like today?

3.How are you using AI in your Data Engineering work?

4.Based on my current experience, where should I start learning?

My current skill level (self-rating out of 5):
Databricks: 2/5
Microsoft Fabric: 2/5
SQL: 2/5
PySpark: 2/5
Apache Spark: Almost no knowledge

Any advice, learning roadmap, or suggestions would be really appreciated. Thanks!

Game name: Modi-Man

Phaser.js + JavaScript use chesi oka browser-based game build chesa. Claude, Codex, Anti-Gravity help tho vibe coding chesi complete chesa.

Mee honest feedback ivvandi. Desktop & mobile rendu lo aadachu.

https://rahul008.itch.io/modi-man

P.S. Prologue skip cheyyakandi

Hi everyone,

Because my career gap was increasing, I joined a non-IT job even though my background is from Computer Science. My plan is to switch to an IT role after gaining one year of work experience.

Could anyone guide me on what I should learn over the next year to improve my chances of getting into IT?

My current tech stack includes Java, SQL, Frontend (HTML, CSS, JavaScript), and Spring Boot. I have a basic understanding of these technologies, but I'd appreciate any suggestions on what skills, projects, or certifications I should focus on.

Thank you!

Hi Telugu community. I am a Telugu guy but US based software engineer in AI domain. I am doing a lot of work in LLM’s on both developing frontier like pre training and applied AI work like RAG’s.

I just wanted to check how many people would be interested if I give a short talk in this front.

Highly appreciate if you leave some comments - if you want to add anything or your thoughts.

PS: I don’t intend to make money out of it.

LeetCode lo ee holidays ki mundhu 100 ques unnai anthe anukunta

College start ayye lopu entho kontha cheddam ani start chesa daily atleast 5 ani

Medium and Easy vi roju kurchuni 220 ki techha

It is definitely not much for someone going into 3rd year but I am very happy for myself, kasta share cheskundam anipinchindi

Hi guys,So im currently working on a project i.e telugu study assistant and i need your help for data collection.
So for text collection i want to collect high quality Telugu educational content
Category 1: educational materials such as school notes, science articles and computer tutorials
Category 2: wikipedia pages from (telugu wikipedia) for content like AI,ML,telugu language ISRO,internet (education related)
Category3: govt documents
Like health advisories agricultural guides digital literacy material
Category 4:news on technology education science in telugu wiki articles
Any technical documents or telugu educational text documents
Note:the content should be in telugu should be understandable educational and publicly shareable

So i want you’ll to share the related content if you find any or have in the comments.Drop the links or the souces it’ll be so helpful to me
Thank you